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  4. Indian Journal of Heterocyclic Chemostry
  5. Vol. 36, No. 1, 2026
Please use this identifier to cite or link to this item: http://111.93.178.142:25000/jspui/handle/123456789/5217
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dc.contributor.authorAnkit-
dc.date.accessioned2026-06-08T07:48:06Z-
dc.date.available2026-06-08T07:48:06Z-
dc.date.issued2026-06-08-
dc.identifier.urihttp://111.93.178.142:25000/jspui/handle/123456789/5217-
dc.descriptionVol. 36, No. 1, p 161en_US
dc.language.isoenen_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine learningen_US
dc.subjectVirtual machinesen_US
dc.subjectCloud computingen_US
dc.subjectResource allocationen_US
dc.subjectChemical industryen_US
dc.subjectHeterocyclic compoundsen_US
dc.subjectComputational Chemistryen_US
dc.subjectHigh performance computingen_US
dc.subjectPresictive modelingen_US
dc.titleIntegrating artificial intelligence and machine learning VM allocation in thechemical industry using heterocyclic chemistry- A narrative mini reciewen_US
dc.typeOtheren_US
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